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Activity Number:
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616
- The Use of Randomized Response Technique (RRT) in Theory and Practice and Recent Developments - Second Round Toward Collecting Sensitive Data: Making Lies Naked!
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 3, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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Abstract #323975
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Title:
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An Innovative Estimator of Proportion using the Two Decks Randomized Response Model
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Author(s):
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Augustus Jayaraj* and Oluseun Odumade and Sarjinder Singh and Stephen A. Sedory
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Companies:
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Cornell University and Deloitte & Touche LLP and Texas A&M University-Kingsville and Texas A&M University-Kingsville
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Keywords:
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randomized response sampling ;
estimation of proportion ;
mean square error ;
relative efficiency
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Abstract:
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Jayaraj, Sedory, Singh and Odumade (2017: Communications in Statistics) have introduced a new estimator for estimating the proportion of a potentially sensitive attribute in survey sampling that has been introduced by solving a linear equation. The proposed estimator has been compared to the estimator proposed by Odumade and Singh (2009) with equal protection to all of the respondents. The asymptotic properties of the proposed estimator are investigated through exact numerical illustrations for different choices of parameters. A nonrandomized response approach has been suggested. A scope for further research has also been pointed out. In this presentation, we will discuss the possibilities of further improvements in Jayaraj et al. (2017) technique.
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Authors who are presenting talks have a * after their name.
